Gene-Environment Interaction Analysis Incorporating Prior Information

Realize three approaches for Gene-Environment interaction analysis. All of them adopt Sparse Group Minimax Concave Penalty to identify important G variables and G-E interactions, and simultaneously respect the hierarchy between main G and G-E interaction effects. All the three approaches are available for Linear, Logistic, and Poisson regression. Also realize to mine and construct prior information for G variables and G-E interactions.


Reference manual

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1.0 by Xiaoyan Wang, 18 days ago

Browse source code at

Authors: Xiaoyan Wang , Hongduo Liu , and Shuangge Ma

Documentation:   PDF Manual  

GPL license

Imports MASS, glmnet, stats, rvest, dplyr, pheatmap, grDevices, graphics

See at CRAN